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首页> 外文期刊>IEEE Transactions on Vehicular Technology >Orthonormal Subspace Tracking Algorithm for Space–Time Multiuser Detection in Multipath CDMA Channels
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Orthonormal Subspace Tracking Algorithm for Space–Time Multiuser Detection in Multipath CDMA Channels

机译:用于多径CDMA信道中时空多用户检测的正交子空间跟踪算法

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摘要

This paper presents the techniques of space-time blind multiuser detection based on signal subspace estimation for asynchronous multipath antenna array code-division multiple access systems. The proposed techniques only require the prior knowledge of spreading waveform and timing information of the desired user. The normalized orthogonal Oja (NOOja) subspace tracking algorithm is used for adaptive subspace estimation, and the Kalman-type algorithm is employed for adaptive channel estimation of the asynchronous multipath antenna array system. Simulation results show that the NOOja subspace tracking algorithm is adaptively used to achieve a better performance than other similar orthogonal subspace tracking algorithms.
机译:本文提出了一种基于信号子空间估计的空时盲多用户检测技术,用于异步多径天线阵列码分多址系统。所提出的技术仅需要扩展所需用户的波形和定时信息的先验知识。归一化正交Oja(NOOja)子空间跟踪算法用于自适应子空间估计,而Kalman型算法用于异步多径天线阵列系统的自适应信道估计。仿真结果表明,与其他类似的正交子空间跟踪算法相比,NOOja子空间跟踪算法可自适应地获得更好的性能。

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